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aryan@portfolio:~

Aryan Garg

Simple solutions turn heads

I'm a CS PhD student at the University of Wisconsin-Madison, advised by Professor Mohit Gupta.

I have been fortunate to work with many brilliant professors and experts throughout my journey. Prof. Renu Rameshan ignited my interest in computer vision early during my Bachelor's at IIT Mandi which also led me to exploring generative modeling for outdoor lighting during my junior year with Prof. Jean-François Lalonde and Dr. Yannick Hold-Geoffroy. After graduating, I spent a wonderful year at IIT Madras getting closer to sensors alongside developing 3D reconstruction and generative facial video editing methods as a Bosch Research Fellow at the Computational Imaging Lab directed by Prof. Kaushik Mitra. Interestingly, my vision sensors and generative interests got a human touch to them as I spent the summer of '24 at Computational Behaviour Lab, advised by Prof. Antti Oulasvirta and now Professor, Yue Jiang.

Apart from research, I enjoy riding my motorcycle, baking and trekking. My previous trek (8th) was Sandakphu-Phalut in the Himalayas overlooking the majestic sleeping Buddha. I also love to travel during the holidays to meet my close friends Julian Fabinc and Noemi Ippolito.

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aryan@portfolio:~/publications/{CVPR, SIGGRAPH, ICLR, ToG, ICCP, BMVC, WACV}

Publications

gQIR: Generative Quanta Image Reconstruction
Aryan Garg, Sizhuo Ma, Mohit Gupta
CVPR 2026 (Highlight; Top 10%)
β–Ό

Generative prior for photon-counting neural ISPs under extreme motion.

arXiv Project Page GitHub
Radiance Fields from Photons
Sacha Jungerman, Aryan Garg, Mohit Gupta
Transactions on Graphics, 2025 & SIGGRAPH, 2026
β–Ό

NeRF and 3D Gaussian Splatting with Photons

ACM DOI arXiv
Controllable GUI Exploration
Aryan Garg, Yue Jiang, Antti Oulasvirta
Preprint, 2025
β–Ό

Diffusion for automatic GUI designing & ideation

arXiv
IP-FaceDiff: Identity-Preserving Facial Video Editing with Diffusion
Tharun Anand, Aryan Garg, Kaushik Mitra
WACV-W, 2025
β–Ό

Identity-Preserving Facial Video Editing with Diffusion

arXiv
HDRSplat: Gaussian Splatting for High Dynamic Range 3D Scene Reconstruction from Raw Images
Shreyas Singh*, Aryan Garg*, Kaushik Mitra
BMVC, 2024
β–Ό

High Dynamic Range 3D Gaussian Splatting At Night

Project Page arXiv
Stereo-Knowledge Distillation from dpMV to Dual Pixels for Light Field Video Reconstruction
Aryan Garg, Raghav Mallampali, Akshat Joshi, Shrisudhan Govindarajan, Kaushik Mitra
ICCP, 2024
β–Ό

Stereo Knowledge Distillation for dp-disparity estimation, dpMV dataset, and LFVR.

GitHub arXiv
Parameter and Data Efficient Spectral Style DCGAN
Aryan Garg
ICLR Tiny Paper, 2024 (Oral Presentation)
β–Ό

Unconditional face generation at the speed and size of DCGAN using a relatively tiny training dataset (~4000). Convergence and higher fidelity over StyleGAN are achieved using a spectrally normalized discriminator and a tiny generator within 20 minutes on a commercial, free cloud GPU.

GitHub arXiv OpenReview
G-PECNet: Towards a Generalizable Pedestrian Trajectory Prediction System
Aryan Garg, Renu Rameshan
ICLR Tiny Paper, 2024 (Oral Presentation)
β–Ό

Synthetic dataset generation and sinusoidal activations lead to a winning solution over the final displacement error.

GitHub arXiv OpenReview
Re-envisioning Sky Models
Ian J. Maquignaz, Lucas Valença, Aryan Garg, Yannick Hold Geoffroy, Julien Philip, Jean Francois Lalonde
Semaine numΓ©riQC, 2023 (3rd Best Presentation Award)
β–Ό

SkyNet for user-controlled generation of skies incorporating the versatility of parametric models and realism from deep generative networks.

DeepSky
Ian J. Maquignaz, Aryan Garg, Yannick Hold Geoffroy, Julien Philip, Jean Francois Lalonde
Symposium IA MontrΓ©al, 2022
β–Ό

DeepSky: Learning to generate photorealistic skies per user-controlled positioning of solar and atmospheric components

Poster Abstract